Glow Raises $180M to Secure Devices in the AI Era, Backed by the Founder of Meta's Spyware App Onavo

In July 2026, startup Glow came out of stealth mode and raised $180M for a platform that protects corporate devices while employees work with AI. The company was founded by Roi Tiger, a former Meta vice president and co-founder of Onavo, the app Meta once turned into a tool for spying on competitors.

Who is behind Glow?

Glow was created by Roi Tiger, whose résumé carries one of the most controversial lines in Silicon Valley. He was there at the start of Onavo, a VPN service that became a corporate intelligence tool after Facebook bought it in 2013. The app collected data on which services people used, helping Meta track competitors' growth and make acquisition decisions. In 2018, Apple removed Onavo from the App Store for violating data collection rules. Now Tiger is building a business on the opposite idea: protecting data rather than collecting it covertly.

What does Glow protect?

Glow works in endpoint security for the AI era: the company protects employees' laptops and work devices at the moment they use AI tools. A $180M round is a big opening bid for a stealth exit: sums like this usually go to teams with proven founders and clear corporate demand. The demand is real: businesses are rolling out chatbots and AI assistants en masse, but they fear leaks when confidential documents and correspondence end up in third-party models.

Endpoint security is not a new category, but AI has rewritten its rules. When an employee pastes a snippet of code or a customer database into a public chatbot, corporate data leaves the company perimeter in seconds, and classic security systems often fail to notice. Glow positions itself as a layer that watches for exactly these scenarios on the device itself, before the data reaches the cloud.

• Company: Glow, emerged from stealth in July 2026
• Round: $180M
• Founder: Roi Tiger, former Meta vice president
• Previous project: Onavo, acquired by Facebook in 2013, removed from the App Store by Apple in 2018
• Niche: endpoint security for working with AI

Why such a large round?

Glow raised $180M before showing the public a finished product, which suggests investors are betting on the market rather than on a specific technology. Data protection has become one of the biggest cost items in mass AI adoption: companies are spending billions on generative models while looking for tools that will stop those same models from leaking corporate secrets. There is also a paradox at the heart of the story: an entrepreneur who once helped Meta covertly collect data is now asking companies to trust him with AI on their corporate laptops.

"His new company

Glow wants to do something almost the opposite," is how The Next Web describes Tiger's turn from surveillance to data protection.

A bet on the AI security market

AI security has become one of the hottest areas of venture capital in 2026: the more actively businesses adopt generative models, the sharper the demand for tools that control exactly what employees hand over to those models. A large check at an early stage is typical for the segment: investors are betting not on a finished product but on the team and the speed with which it can claim the niche before competitors do. For a startup that has just stepped out of the shadows, $180M is an exceptionally large sum.

What this means

Workplace security is becoming a mandatory layer of corporate AI adoption, and the $180M put into a startup with almost no public track record is a signal that investors see this market as one of the hottest. The founder's biography, meanwhile, is a reminder of an uncomfortable truth: the tools that protect data and the tools that covertly collect it are often built by the same people.

*Meta has been designated an extremist organization and is banned in Russia.